Complexity of cardiac rhythms by permutation entropy of ordinal patterns with repeated values
University of Gdansk, Faculty of Mathematics, Physics and Information Science (UG-MFI), Wita Stwosza 57, Gdańsk 80-952, Poland
It is an interesting area to analyze the complexity of cardiac rhythms. Permutation entropy is a well known complexity measure for time series. It is based on representation of consecutive values by ordinal patterns. We adapt the algorithm which creates ordinal patterns by including repeated values. Then we use the variety of signal symbolizations to analyze the signal complexity in different scales. Proposed by us approach to the permutation entropy allowed to detect the statistically significant difference in cardiovascular dynamics of healthy people and patients with vasovagal syncope. Cardiovascular signals were recorded during head-up tilt table test, which is valuable tool to provoking orthostatic related changes in cardiovascular dynamics.
Presentation: Poster at 8 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych", by Dorota Wejer
See On-line Journal of 8 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
Submitted: 2015-09-03 15:19 Revised: 2015-09-03 15:19